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152. Maximum Product Subarray | LeetCode Medium | Python Solution | Dynamic Programming, Array

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Leetcode problem152. Maximum Product Subarray, detailed explanation and solution in python language. Dynamic Programming approach is used in solving this problem.
#leetcode #dynamicprogramming #solution
LeetCode problem solving helps in improving one's problem solving and coding skills . Also, it helps in clearing technical interviews at top tech companies like Microsoft, Google, Amazon, Facebook, Walmart, Apple etc.
Problem Statement:
Given an integer array nums, find a contiguous non-empty subarray within the array that has the largest product, and return the product.
It is guaranteed that the answer will fit in a 32-bit integer.
A subarray is a contiguous subsequence of the array.
#leetcode #dynamicprogramming #solution
LeetCode problem solving helps in improving one's problem solving and coding skills . Also, it helps in clearing technical interviews at top tech companies like Microsoft, Google, Amazon, Facebook, Walmart, Apple etc.
Problem Statement:
Given an integer array nums, find a contiguous non-empty subarray within the array that has the largest product, and return the product.
It is guaranteed that the answer will fit in a 32-bit integer.
A subarray is a contiguous subsequence of the array.